info@chuka.ac.ke
020 231 0512/ 020 231 0518
Lecturer
Email: kotieno@chuka.ac.ke
Faculty of Science and Technology
Department of Computer Science
FIELD OF SPECIALIZATION:
Artificial intelligence, Fuzzy systems, and smart learning
WORK EXPERIENCE
May 2019 – to date: Lecturer of Computer science, Chuka University
2015 – May 2019: Assistant Lecturer of Computer science, Chuka University
Feb 2013 – Nov 2014: Director of ICT / County ICT Manager – Tharaka Nithi County Government
July 2008 – Feb 2013: HOD ICT Department / Senior Lecturer, Kenya School of Government
July 2006 – July 2008: Lecturer of ICT, Kenya School of Government – Baringo (Formerly GTI- Baringo)
COMMUNITY SERVICE:
1. Presiding officer CUSA elections for 29th January 2016, Chuka University
2. Member in reviewing of Chuka University automation policy (2016), Chuka university
3. Member of County Public Service Board selection panel (2013), Tharaka Nithi County Government
4. Member of County Assembly Service Board selection panel (2013), Tharaka Nithi County Government
5. Member of County Tender Board (2013), Tharaka Nithi County Government
6. Chairman of Kenya School of Government automation committee (2006-2013), KSG
7. Examiner in Information technology related examinations, for Accountants and procurement officers. (2006 – 2016), Kenya Treasury
EDUCATION
1. Ph.D. Ongoing, JKUAT
2. Master of Science in Computer Science, UoN
3. B.Sc.in Computer Science, Maseno University
4. Senior Management Course
KEY RESEARCH PROJECTS
2016 to date: Fuzzy logic based context aware recommender in smart E-learning content delivery
2009: Mobile agent based system for listing fundamental Wi-Fi peer-to-peer network details
SCHOLALRLY PUBLICATIONS
1. Gogo, K. O., Nderu, L., and Mwangi R. W., Fuzzy Logic Based Context Aware Recommender for Smart E-learning Content Delivery,” IEEE 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI), Nairobi, Kenya, pp. 114-118
2. Gogo, K., Nderu, L., and Muthengi, F, Smart E-learning content delivery system for ubiquitous devices, using Wi-Fi networks and smart board approach, International Journal of computer Science 4(Issue 2, No 9):946-953.
3. Gogo, K., (2016), Software Engineering Approaches for Designing Knowledge based Systems: A Survey, Circulation in Computer Science, 1(1):15-20
4. Gogo, K., and Kiruki, J., (2016), Trends in measuring and preventing software security weaknesses, IJARCSSE, 6(6):9-14
5. Gogo, K., and Sigar, K., (2016), Kenyan “Nyumba Kumi” Neighbourhood Information System using Artificial Intelligence, International Journal of computer applications, 144(12): 7-12
6. Gogo, K., and Opiyo, T. E., (2015), Smart classroom content delivery for pervasive devices, using context awareness and Wi-Fi networks, Creating Futures Through Research – Meeting Challenges, Embracing Opportunities & Delivering Impact, inaugural collaborative research conference by University of Sunderland, UK and INtel College, on 6-7 Nov 2015, available at http://sure.sunderland.ac.uk/6126/
7. Gogo, K., and Gitonga, D., M. (2015), Smart e-learning environment, using wireless peer to peer networks and smart blackboard approach, Faculty of Education and Community Development Studies Conference Proceedings, Egerton University on 3rd Dec 2015, available at http://ir-library.egerton.ac.ke/jspui/handle/123456789/471
8. Gogo, K., and Opiyo, T. E., (2015), Mobile agent based system for listing fundamental Wi-Fi peer-to-peer network details, International Journal of computer applications, 114(5):44-50
RESEARCH INTERESTS
AI, context aware recommender systems, fuzzy logic, smart E-learning